{"title":"Teaching analysis based on association rule mining","authors":"Chen Weiyu, Jianan","doi":"10.1109/ANTHOLOGY.2013.6784997","DOIUrl":null,"url":null,"abstract":"Association rule in data mining could found interesting link between a large amounts of data set. Using the improved Apriori algorithm on analyzing the grades of students' course, which revealed the relationship and influence on learning effect during each chapter, distinguish the key factors that affect their achievement. After that we can conclude valuable information to provide guidance for improving teaching and learning effectiveness.","PeriodicalId":203169,"journal":{"name":"IEEE Conference Anthology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Conference Anthology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTHOLOGY.2013.6784997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Association rule in data mining could found interesting link between a large amounts of data set. Using the improved Apriori algorithm on analyzing the grades of students' course, which revealed the relationship and influence on learning effect during each chapter, distinguish the key factors that affect their achievement. After that we can conclude valuable information to provide guidance for improving teaching and learning effectiveness.